We are Techtters,
We Do Data Engineering, Mobile & Web Applications Development
from Utrecht, Netherlands.

We have 14 years of experience in enterprise level application development, Data Engineering & DevOps Solutions.

Our Portfolio

What We Do

Analytics

We are expertise in Data Engineering services data collection, cleaning, catalogueing, centralizing, cleaning, enriching, storing and finally serving the required data for machine learning or analytics applications and also productionizing machine learning model.

Microservices

We are proficient in application development with modern architectures Microservices and Serverless Architecture on AWS, Azure clouds and Cloud-native environments.

Web & Mobile Apps

We can help you in building modern and responsive mobile and web applications for your organization on Web, Android & iOS platforms.

Recent Blogs

Showing posts with label Data Science. Show all posts

Exploratory Data Analysis or Data Exploration is another process that is critical in machine learning pipeline. Since it makes you understand what kind of data you have and what is data format. And also by exploring the data you will know how that data is useful to take business decisions. It may contain very raw data and it may null values. By exploring the you can get complete knowledge of your data and you can know how pre process it by eliminating null values and duplicates in the data.

To get to know more about how you can explore the data, just check the following video. If you like the video like it and subscribe to channel @ https://www.youtube.com/c/Techtter

Data Collection and Data Conenctivity are important processes in ML Pipeline. You should know how to connect and collect the data from the data sources. The data source located in on-premises or remote locations. Irrespective of data locality you should be able to connect the data source and collect the data and should store the data in centalized location.

To know more about Data Collection and Connectivity, watch the following video and subscribe to channel if you like the video.: https://www.youtube.com/c/Techtter